Liquidity management software

A position is more
than a price range.

RangeKeeper brings range decisions, portfolio exposure and hedge coordination into one workflow—so each position can be understood in the context of the whole portfolio.

New learner in shadow evaluationCurrent focus: concentrated liquidity on Sui

Conceptual workflow. Shadow execution simulates actions; it does not place live trades.

Designed around the portfolio

Range decisions.
With controls around them.

The learner is one component. Separate controls govern exposure and execution around its suggestions.

Position awareness

Consider the LP’s range and inventory alongside the portfolio’s reserves, hedge collateral and market exposure.

Exposure controls

Evaluate risk budgets and possible exposure reductions. Holding less market exposure can also mean giving up upside.

Hedge coordination

Coordinate the hedge controller with LP decisions. Perpetual hedges use external venues and carry their own costs and risks.

Research, then evaluation

See how a policy behaves before asking it to act.

Historical research and shadow observation serve different purposes.

Make the behaviour
visible.

Our research examines portfolio changes, recentering, hedge costs and time out of range. Historical replays help compare alternatives; shadow runs help inspect behaviour against incoming market data.

The new learner’s Sui profiles are being evaluated in shadow mode. This page is not an invitation to deposit funds or an assertion of live availability.

LP fee income does not guarantee a positive total return. Asset-price changes, divergence loss, execution costs, funding and protocol risks all matter. Backtests and shadow results are not realised customer returns.

Understand the boundaries.

How is RangeKeeper different from the analytics API?

The API supplies market observations for customers’ own applications. RangeKeeper applies portfolio-specific logic and controls to liquidity management. Its private decisions and model weights are not part of the data subscription.

Does the learner make every decision?

No. The learner’s hold/recenter assessment is separate from portfolio risk limits, hedge management and execution checks. An assessment alone does not authorise a trade.

Does RangeKeeper provide the perpetual market?

No. Perpetual markets are provided by external venues. RangeKeeper’s hedge controller coordinates decisions within the supported integration; the venue supplies the trading market.

Is multi-chain support available?

The current focus is Sui. Broader chain and venue support is a development direction, subject to integration, data and operational validation. Contact us about your intended setup.

A conversation before a configuration

Tell us about your workflow.

Explore the approach, discuss supported integrations, or talk through a potential pilot.

Talk about RangeKeeper